# methods.rho2hat: Methods for Intensity Functions of Two Spatial Covariates In spatstat: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests

## Description

These are methods for the class `"rho2hat"`.

## Usage

 ```1 2 3 4 5 6 7 8``` ```## S3 method for class 'rho2hat' plot(x, ..., do.points=FALSE) ## S3 method for class 'rho2hat' print(x, ...) ## S3 method for class 'rho2hat' predict(object, ..., relative=FALSE) ```

## Arguments

 `x,object` An object of class `"rho2hat"`. `...` Arguments passed to other methods. `do.points` Logical value indicating whether to plot the observed values of the covariates at the data points. `relative` Logical value indicating whether to compute the estimated point process intensity (`relative=FALSE`) or the relative risk (`relative=TRUE`) in the case of a relative risk estimate.

## Details

These functions are methods for the generic commands `print`, `predict` and `plot` for the class `"rho2hat"`.

An object of class `"rho2hat"` is an estimate of the intensity of a point process, as a function of two given spatial covariates. See `rho2hat`.

The method `plot.rho2hat` displays the estimated function rho using `plot.fv`, and optionally adds a `rug` plot of the observed values of the covariate. In this plot the two axes represent possible values of the two covariates.

The method `predict.rho2hat` computes a pixel image of the intensity rho(Z1(u), Z2(u)) at each spatial location u, where Z1(u) and Z2(u) are the two spatial covariates.

## Value

For `predict.rho2hat` the value is a pixel image (object of class `"im"`). For other functions, the value is `NULL`.

## Author(s)

`rho2hat`
 ```1 2 3 4``` ``` r2 <- with(bei.extra, rho2hat(bei, elev, grad)) r2 plot(r2) plot(predict(r2)) ```